Update README.md

README.md

@@ -42,7 +42,8 @@ The small dataset size is intentional, as the focus is on few-shot learning rath
     - Max Input Length: 512 tokens
     - Max Output Length: 64 tokens
 
-##### Full-Shot learning model- For a more general-purpose summarization model, check out the full model trained on the entire XSUM dataset: [fulltrain-xsum-bart](https://huggingface.co/bhargavis/fulltrain-xsum-bart).
+### Full-Shot learning model
+For a more general-purpose summarization model, check out the full model trained on the entire XSUM dataset: [fulltrain-xsum-bart](https://huggingface.co/bhargavis/fulltrain-xsum-bart).
 
 ### Performance
 Due to the few-shot nature of this model, its performance is not directly comparable to models trained on the full XSUM dataset. However, it demonstrates the potential of few-shot learning for summarization tasks. Key metrics on the validation set (50 samples) include: